Machine learning for tuning digital twins with measurement data

Dominik Schnürer, Franz Hammelmüller, Helmut Holl, Wolfgang Kunze

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Original language	English
Title of host publication	Proceedings of the 37th Danubia-Adria Symposium on Experimental Methods in Solid Mechanics
Editors	Holl Helmut
Pages	188-189
Number of pages	2
Publication status	Published - 2022

Fields of science

Symbiotic Mechatronics (FP2) - MFP2.1 - Process Simulation and Material Modeling
Brandl, A. (Researcher), Holl, H. (Researcher), Humer, A. (Researcher), Pechstein, A. S. (Researcher) & Krommer, M. (PI)
01.01.2022 → 31.12.2026
Project: Funded research › FFG - Austrian Research Promotion Agency

@inproceedings{097abb611cff4c5893fe3de2936c461b,

title = "Machine learning for tuning digital twins with measurement data",

author = "Dominik Schn{\"u}rer and Franz Hammelm{\"u}ller and Helmut Holl and Wolfgang Kunze",

year = "2022",

language = "English",

pages = "188--189",

editor = "{Holl Helmut}",

booktitle = "Proceedings of the 37th Danubia-Adria Symposium on Experimental Methods in Solid Mechanics",

}